John Hunter wrote: [...] > As for your specific points: > > * inside matplotlib we should just use numpy everywhere. We need to > agree on some import convention. I'm happy with 'import numpy as nx' > though this might be confusing for a while since people might confuse > it with the numerix layer. I like nx because numpy is too long, and N > occurs too frequently in regular code. I don't like capital > letters.... I could see ns too, since that is what we have been using > for the numpy extensions when numpy was originally discussed in the > context of the scipy core. ns is not very mnemonic, and I think we should avoid the confusion between nx as numerix and nx as numpy, so I suggest "np" for numpy. It is mnemonic, and it will make it easier to keep track of the conversion process. An alternative would be "nu". > > * I suppose we should deprecate it for a release, but I'm inclined > just to push the thing through quickly because it is a big change and > if and when we have energy for it we should just get it done. I'm > also happy to have some sense talked into me. I suppose one I won't be the one to talk sense into you! This change is going to take a some time, and I would like to be able to get started on it. It doesn't have to be done all at once. > possibility is to deprecate it *now* and push out 0.91 ASAP and then > immediately pull the old support out. I'll post on user's list to get If you want to make one more release, I would like to have a few days notice to see if I can clear up at least one thing, and maybe a couple more. > a sense of how many people both need the latest mpl and the older > array packages. I can't imagine there are too many... I'm sure some > people need Numeric or numarray, but if they are that curmudgeonly, > surely they can live on the older mpl branch. [...] Eric